--------------------------------------------------------------------------------------------------------------------------
       log:  C:\Users\Danny\Documents\ZIOP\substantive\HilMooMuk_isq\results.log
  log type:  text
 opened on:   7 Oct 2011, 10:46:17

. 
. foreach i of local dv {
  2. 
.         ml model lf myoproba (beta: `i' = `beta') (cut2:) if avmdia!=.&aireportsl!=., cluster(COWccode)
  3.         ml maximize, difficult
  4.         estimates stats
  5.         matrix eb = e(b)
  6.         gen insample = e(sample) == 1
  7. 
.         ml model lf ziopa (beta: `i' = `beta') (gamma: `i' = `gamma') (cut2:) if insample == 1, cluster(COWccode)
  8.         ml init eb, skip
  9.         qui ml maximize, difficult
 10.         matrix eb = e(b)
 11. 
.         ml model lf ziopb (beta: `i' = `beta') (gamma: `i' = `gamma') (cut2:) (rho:) if insample == 1, cluster(COWccode)
>  
 12.         ml init eb, skip
 13.         ml maximize, difficult
 14.         estimates stats
 15.         drop insample
 16. }

initial:       log pseudolikelihood =     -<inf>  (could not be evaluated)
feasible:      log pseudolikelihood = -1082.5095
rescale:       log pseudolikelihood = -1082.5095
rescale eq:    log pseudolikelihood = -892.07918
Iteration 0:   log pseudolikelihood = -892.07918  
Iteration 1:   log pseudolikelihood = -698.84135  
Iteration 2:   log pseudolikelihood = -696.49074  
Iteration 3:   log pseudolikelihood =  -696.4845  
Iteration 4:   log pseudolikelihood =  -696.4845  

                                                  Number of obs   =        856
                                                  Wald chi2(6)    =     110.63
Log pseudolikelihood =  -696.4845                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 116 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
        tort |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |    1.18568   .3299179     3.59   0.000     .5390532    1.832307
       lngdp |    .238876   .0688576     3.47   0.001     .1039177    .3738344
       lnpop |  -.2908632     .04976    -5.85   0.000     -.388391   -.1933354
   allterror |  -.0041699   .0017444    -2.39   0.017    -.0075889   -.0007509
     cat_rat |   -.146404    .134171    -1.09   0.275    -.4093744    .1165664
   logHROsec |   .1977147    .090206     2.19   0.028     .0209143    .3745152
       _cons |   2.366113   .8964023     2.64   0.008     .6091965    4.123029
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.436225   .0974428    14.74   0.000     1.245241     1.62721
------------------------------------------------------------------------------

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |    856           .   -696.4845      8     1408.969    1446.987
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

initial:       log pseudolikelihood = -682.13604
rescale:       log pseudolikelihood = -682.13604
rescale eq:    log pseudolikelihood = -682.13604
Iteration 0:   log pseudolikelihood = -682.13604  
Iteration 1:   log pseudolikelihood = -681.86217  
Iteration 2:   log pseudolikelihood = -681.59105  
Iteration 3:   log pseudolikelihood =  -681.5835  
Iteration 4:   log pseudolikelihood = -681.58349  

                                                  Number of obs   =        856
                                                  Wald chi2(6)    =      57.90
Log pseudolikelihood = -681.58349                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 116 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   .8709251   .4506725     1.93   0.053    -.0123767    1.754227
       lngdp |   .3338193   .0894817     3.73   0.000     .1584384    .5092002
       lnpop |  -.2742794   .0603892    -4.54   0.000      -.39264   -.1559188
   allterror |  -.0010866   .0027897    -0.39   0.697    -.0065542     .004381
     cat_rat |  -.2579445   .1620669    -1.59   0.111    -.5755898    .0597008
   logHROsec |   .0508374    .100646     0.51   0.613    -.1464252    .2481001
       _cons |   2.111102   1.009268     2.09   0.036     .1329734     4.08923
-------------+----------------------------------------------------------------
gamma        |
      avmdia |  -.3265299   .1517683    -2.15   0.031    -.6239904   -.0290694
      WoverS |   .7453714     .40531     1.84   0.066    -.0490217    1.539764
   allterror |  -.0038414   .0021452    -1.79   0.073    -.0080458    .0003631
  aireportsl |  -.0443306   .0158377    -2.80   0.005     -.075372   -.0132892
   logHROsec |   .4521921   .1819607     2.49   0.013     .0955556    .8088286
       _cons |   .6786255   .4113215     1.65   0.099    -.1275497    1.484801
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.663735   .1484427    11.21   0.000     1.372793    1.954678
-------------+----------------------------------------------------------------
rho          |
       _cons |  -.2706564   .1856356    -1.46   0.145    -.6344955    .0931827
------------------------------------------------------------------------------

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |    856           .   -681.5835     15     1393.167    1464.451
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

initial:       log pseudolikelihood =     -<inf>  (could not be evaluated)
feasible:      log pseudolikelihood = -912.04589
rescale:       log pseudolikelihood = -912.04589
rescale eq:    log pseudolikelihood = -912.04589
Iteration 0:   log pseudolikelihood = -912.04589  
Iteration 1:   log pseudolikelihood = -645.01388  
Iteration 2:   log pseudolikelihood =  -640.7391  
Iteration 3:   log pseudolikelihood = -640.71308  
Iteration 4:   log pseudolikelihood = -640.71307  

                                                  Number of obs   =        855
                                                  Wald chi2(6)    =     152.66
Log pseudolikelihood = -640.71307                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 116 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
     polpris |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   2.641538    .405727     6.51   0.000     1.846328    3.436749
       lngdp |   .0867965   .0740238     1.17   0.241    -.0582874    .2318804
       lnpop |  -.3868464   .0684101    -5.65   0.000    -.5209278    -.252765
   allterror |  -.0027956   .0010835    -2.58   0.010    -.0049193   -.0006719
     cat_rat |   .0754134   .1705891     0.44   0.658     -.258935    .4097618
   logHROsec |    .324783   .1309705     2.48   0.013     .0680855    .5814805
       _cons |    4.45376   1.235049     3.61   0.000     2.033108    6.874411
-------------+----------------------------------------------------------------
cut2         |
       _cons |   .9899289   .0878661    11.27   0.000     .8177145    1.162143
------------------------------------------------------------------------------

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |    855           .   -640.7131      8     1297.426    1335.435
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

initial:       log pseudolikelihood = -632.23262
rescale:       log pseudolikelihood = -632.23262
rescale eq:    log pseudolikelihood = -632.23262
Iteration 0:   log pseudolikelihood = -632.23262  
Iteration 1:   log pseudolikelihood = -631.78748  
Iteration 2:   log pseudolikelihood = -631.64698  
Iteration 3:   log pseudolikelihood = -631.64536  
Iteration 4:   log pseudolikelihood = -631.64536  

                                                  Number of obs   =        855
                                                  Wald chi2(6)    =      89.42
Log pseudolikelihood = -631.64536                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 116 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   2.026653   .6555557     3.09   0.002     .7417873    3.311518
       lngdp |   .1482781   .1119629     1.32   0.185    -.0711653    .3677214
       lnpop |  -.3907017   .0889813    -4.39   0.000    -.5651018   -.2163016
   allterror |  -.0027675   .0012622    -2.19   0.028    -.0052413   -.0002937
     cat_rat |   .2048639   .2334059     0.88   0.380    -.2526032     .662331
   logHROsec |   .4561433   .1826723     2.50   0.013     .0981122    .8141745
       _cons |   4.860349   1.553397     3.13   0.002     1.815747    7.904951
-------------+----------------------------------------------------------------
gamma        |
      avmdia |  -.3226775   .1280561    -2.52   0.012    -.5736628   -.0716922
      WoverS |   1.987719   .6154477     3.23   0.001      .781464    3.193975
   allterror |  -.0002114   .0022817    -0.09   0.926    -.0046834    .0042606
  aireportsl |  -.0285117   .0165424    -1.72   0.085    -.0609342    .0039109
   logHROsec |  -.0285792   .1690474    -0.17   0.866    -.3599059    .3027475
       _cons |   .1546045    .636981     0.24   0.808    -1.093855    1.403064
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.308883   .2476167     5.29   0.000     .8235633    1.794203
-------------+----------------------------------------------------------------
rho          |
       _cons |  -.2810218   .2492702    -1.13   0.260    -.7695825    .2075388
------------------------------------------------------------------------------

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |    855           .   -631.6454     15     1293.291    1364.557
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

initial:       log pseudolikelihood =     -<inf>  (could not be evaluated)
feasible:      log pseudolikelihood =  -934.5926
rescale:       log pseudolikelihood =  -895.3638
rescale eq:    log pseudolikelihood =  -895.3638
Iteration 0:   log pseudolikelihood =  -895.3638  
Iteration 1:   log pseudolikelihood =  -686.5179  
Iteration 2:   log pseudolikelihood = -682.33446  
Iteration 3:   log pseudolikelihood = -682.31404  
Iteration 4:   log pseudolikelihood = -682.31404  

                                                  Number of obs   =        856
                                                  Wald chi2(6)    =     167.15
Log pseudolikelihood = -682.31404                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 116 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
        kill |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   .8695748   .2923309     2.97   0.003     .2966168    1.442533
       lngdp |   .3033751   .0613562     4.94   0.000     .1831192    .4236311
       lnpop |  -.1919017   .0549678    -3.49   0.000    -.2996366   -.0841667
   allterror |  -.0085605   .0014567    -5.88   0.000    -.0114155   -.0057054
     cat_rat |   .0669719   .1601437     0.42   0.676    -.2469041    .3808478
   logHROsec |   .1092877    .104829     1.04   0.297    -.0961734    .3147488
       _cons |   1.456626   1.071211     1.36   0.174    -.6429089    3.556161
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.216214   .0948691    12.82   0.000     1.030274    1.402154
------------------------------------------------------------------------------

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |    856           .    -682.314      8     1380.628    1418.646
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

initial:       log pseudolikelihood = -679.08928
rescale:       log pseudolikelihood = -679.08928
rescale eq:    log pseudolikelihood = -679.08928
Iteration 0:   log pseudolikelihood = -679.08928  
Iteration 1:   log pseudolikelihood = -678.88377  
Iteration 2:   log pseudolikelihood = -678.87803  
Iteration 3:   log pseudolikelihood = -678.87802  

                                                  Number of obs   =        856
                                                  Wald chi2(6)    =     159.22
Log pseudolikelihood = -678.87802                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 116 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   .7323063   .3244553     2.26   0.024     .0963855    1.368227
       lngdp |   .3412244   .0777991     4.39   0.000     .1887409    .4937079
       lnpop |   -.170487   .0814379    -2.09   0.036    -.3301024   -.0108717
   allterror |  -.0076195   .0016615    -4.59   0.000     -.010876    -.004363
     cat_rat |   .0865031   .1764253     0.49   0.624    -.2592842    .4322903
   logHROsec |    .106644   .1069272     1.00   0.319    -.1029295    .3162174
       _cons |   1.180994   1.376195     0.86   0.391    -1.516299    3.878287
-------------+----------------------------------------------------------------
gamma        |
      avmdia |  -.2154935   .1166008    -1.85   0.065    -.4440269    .0130399
      WoverS |   1.208702   .4146147     2.92   0.004     .3960722    2.021332
   allterror |  -.0074187   .0020724    -3.58   0.000    -.0114805   -.0033569
  aireportsl |  -.0058432   .0139476    -0.42   0.675    -.0331801    .0214937
   logHROsec |  -.0314216   .1799254    -0.17   0.861     -.384069    .3212258
       _cons |   1.028314   .5947585     1.73   0.084    -.1373912    2.194019
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.448988   .3313602     4.37   0.000     .7995338    2.098442
-------------+----------------------------------------------------------------
rho          |
       _cons |   .2082685   .2241711     0.93   0.353    -.2310989    .6476358
------------------------------------------------------------------------------

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |    856           .    -678.878     15     1387.756     1459.04
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

initial:       log pseudolikelihood =     -<inf>  (could not be evaluated)
feasible:      log pseudolikelihood = -747.16195
rescale:       log pseudolikelihood = -736.71186
rescale eq:    log pseudolikelihood = -671.67047
Iteration 0:   log pseudolikelihood = -671.67047  
Iteration 1:   log pseudolikelihood = -513.35427  
Iteration 2:   log pseudolikelihood = -510.12753  
Iteration 3:   log pseudolikelihood = -510.11687  
Iteration 4:   log pseudolikelihood = -510.11687  

                                                  Number of obs   =        856
                                                  Wald chi2(6)    =      80.74
Log pseudolikelihood = -510.11687                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 116 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
       disap |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   .4274243   .3856276     1.11   0.268     -.328392    1.183241
       lngdp |   .2545342   .0667527     3.81   0.000     .1237013     .385367
       lnpop |  -.2051929   .0604989    -3.39   0.001    -.3237685   -.0866174
   allterror |  -.0044447   .0010296    -4.32   0.000    -.0064627   -.0024267
     cat_rat |  -.3007151   .1671595    -1.80   0.072    -.6283416    .0269115
   logHROsec |   .1170965   .1201064     0.97   0.330    -.1183078    .3525007
       _cons |   2.890847   1.106709     2.61   0.009     .7217371    5.059957
-------------+----------------------------------------------------------------
cut2         |
       _cons |   .7002555   .0729547     9.60   0.000     .5572669    .8432441
------------------------------------------------------------------------------

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |    856           .   -510.1169      8     1036.234    1074.252
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

initial:       log pseudolikelihood = -504.81891
rescale:       log pseudolikelihood = -504.81891
rescale eq:    log pseudolikelihood = -504.81891
Iteration 0:   log pseudolikelihood = -504.81891  
Iteration 1:   log pseudolikelihood = -504.44629  (not concave)
Iteration 2:   log pseudolikelihood = -503.76184  
Iteration 3:   log pseudolikelihood = -503.55556  
Iteration 4:   log pseudolikelihood = -503.51686  
Iteration 5:   log pseudolikelihood = -503.51648  
Iteration 6:   log pseudolikelihood = -503.51648  

                                                  Number of obs   =        856
                                                  Wald chi2(6)    =      80.97
Log pseudolikelihood = -503.51648                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 116 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   .2286145   .4515137     0.51   0.613     -.656336    1.113565
       lngdp |   .2702161   .0742885     3.64   0.000     .1246134    .4158189
       lnpop |  -.2193642   .0641329    -3.42   0.001    -.3450624   -.0936659
   allterror |  -.0046113   .0010568    -4.36   0.000    -.0066827     -.00254
     cat_rat |  -.3413798   .1744583    -1.96   0.050    -.6833117    .0005522
   logHROsec |   .1497816   .1254106     1.19   0.232    -.0960186    .3955819
       _cons |   3.246247   1.189262     2.73   0.006     .9153369    5.577157
-------------+----------------------------------------------------------------
gamma        |
      avmdia |   1.044697    1.61544     0.65   0.518    -2.121508    4.210901
      WoverS |   2.426327    1.36125     1.78   0.075    -.2416732    5.094328
   allterror |   .0034279   .0063529     0.54   0.589    -.0090236    .0158793
  aireportsl |  -.0418015   .0171089    -2.44   0.015    -.0753344   -.0082686
   logHROsec |  -.2845823   .2062868    -1.38   0.168     -.688897    .1197324
       _cons |   .9822874   .2849608     3.45   0.001     .4237746      1.5408
-------------+----------------------------------------------------------------
cut2         |
       _cons |   .7851568   .0928677     8.45   0.000     .6031395    .9671742
-------------+----------------------------------------------------------------
rho          |
       _cons |     .80574    .332177     2.43   0.015      .154685    1.456795
------------------------------------------------------------------------------

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |    856           .   -503.5165     15     1037.033    1108.317
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. */ Models w/ CIRI torture, alternate INGO measures (Wiik count, logged Wiik count, INGO offices count)
. 
. local beta WoverS lngdp lnpop allterror cat 

. local gamma avmdia WoverS allterror aireportsl 

. local ngos ingo logingo HROsec 

. 
. foreach j of local ngos {
  2. 
.         ml model lf myoproba (beta: tort = `beta' `j') (cut2:) if avmdia!=.&aireportsl!=., cluster(COWccode)
  3.         ml maximize, difficult
  4.         matrix eb = e(b)
  5.         gen insample = e(sample) == 1
  6. 
.         ml model lf ziopa (beta: tort = `beta' `j') (gamma: tort = `gamma' `j') (cut2:) if insample == 1, cluster(COWcco
> de)
  7.         ml init eb, skip
  8.         qui ml maximize, difficult
  9.         matrix eb = e(b)
 10. 
.         ml model lf ziopb (beta: tort = `beta' `j') (gamma: tort = `gamma' `j') (cut2:) (rho:) if insample == 1, cluster
> (COWccode) 
 11.         ml init eb, skip
 12.         ml maximize, difficult
 13.         drop insample
 14. }

initial:       log pseudolikelihood =     -<inf>  (could not be evaluated)
feasible:      log pseudolikelihood = -1753.3614
rescale:       log pseudolikelihood = -1753.3614
rescale eq:    log pseudolikelihood = -1442.1966
Iteration 0:   log pseudolikelihood = -1442.1966  
Iteration 1:   log pseudolikelihood = -1147.9175  
Iteration 2:   log pseudolikelihood = -1142.7354  
Iteration 3:   log pseudolikelihood = -1142.7209  
Iteration 4:   log pseudolikelihood = -1142.7209  

                                                  Number of obs   =       1373
                                                  Wald chi2(6)    =     191.31
Log pseudolikelihood = -1142.7209                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 142 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
        tort |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   .8170735   .2339421     3.49   0.000     .3585555    1.275591
       lngdp |   .0524431   .0751618     0.70   0.485    -.0948713    .1997575
       lnpop |  -.3614472    .053276    -6.78   0.000    -.4658662   -.2570281
   allterror |  -.0056526   .0015993    -3.53   0.000    -.0087873    -.002518
     cat_rat |  -.3100313   .1050968    -2.95   0.003    -.5160171   -.1040454
        ingo |   .0007485   .0001864     4.02   0.000     .0003832    .0011137
       _cons |   4.903079   1.153589     4.25   0.000     2.642086    7.164071
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.484339    .073088    20.31   0.000     1.341089    1.627588
------------------------------------------------------------------------------

initial:       log pseudolikelihood = -1132.8765
rescale:       log pseudolikelihood = -1132.8765
rescale eq:    log pseudolikelihood = -1132.8765
Iteration 0:   log pseudolikelihood = -1132.8765  
Iteration 1:   log pseudolikelihood = -1132.3026  
Iteration 2:   log pseudolikelihood = -1132.2471  
Iteration 3:   log pseudolikelihood =  -1132.247  

                                                  Number of obs   =       1373
                                                  Wald chi2(6)    =     114.79
Log pseudolikelihood =  -1132.247                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 142 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   .6263425   .3127045     2.00   0.045      .013453    1.239232
       lngdp |   .0895251   .0874327     1.02   0.306    -.0818398      .26089
       lnpop |  -.3702739   .0657069    -5.64   0.000    -.4990571   -.2414907
   allterror |  -.0029066    .002248    -1.29   0.196    -.0073126    .0014993
     cat_rat |  -.3767913   .1246307    -3.02   0.003    -.6210629   -.1325198
        ingo |    .000687   .0002217     3.10   0.002     .0002525    .0011215
       _cons |   5.241537   1.384154     3.79   0.000     2.528646    7.954428
-------------+----------------------------------------------------------------
gamma        |
      avmdia |  -.3140476   .1324785    -2.37   0.018    -.5737007   -.0543945
      WoverS |   .5122438   .4013771     1.28   0.202    -.2744409    1.298928
   allterror |  -.0039875   .0019575    -2.04   0.042    -.0078241   -.0001509
  aireportsl |  -.0326091   .0111487    -2.92   0.003    -.0544603    -.010758
        ingo |   .0004271   .0002237     1.91   0.056    -.0000113    .0008654
       _cons |   .9086961   .2797937     3.25   0.001     .3603104    1.457082
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.649117   .1028101    16.04   0.000     1.447613    1.850621
-------------+----------------------------------------------------------------
rho          |
       _cons |  -.2913203   .1608601    -1.81   0.070    -.6066003    .0239597
------------------------------------------------------------------------------

initial:       log pseudolikelihood =     -<inf>  (could not be evaluated)
feasible:      log pseudolikelihood = -1753.3614
rescale:       log pseudolikelihood = -1753.3614
rescale eq:    log pseudolikelihood = -1442.1966
Iteration 0:   log pseudolikelihood = -1442.1966  
Iteration 1:   log pseudolikelihood = -1181.9861  
Iteration 2:   log pseudolikelihood = -1178.0739  
Iteration 3:   log pseudolikelihood = -1178.0631  
Iteration 4:   log pseudolikelihood = -1178.0631  

                                                  Number of obs   =       1373
                                                  Wald chi2(6)    =     126.57
Log pseudolikelihood = -1178.0631                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 142 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
        tort |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   1.060946   .2548528     4.16   0.000     .5614439    1.560449
       lngdp |   .2486249   .0684603     3.63   0.000     .1144451    .3828048
       lnpop |  -.2181724   .0548862    -3.97   0.000    -.3257473   -.1105975
   allterror |  -.0056242   .0014765    -3.81   0.000    -.0085181   -.0027303
     cat_rat |  -.1627816   .1106116    -1.47   0.141    -.3795763    .0540132
     logingo |  -.0051971   .1301357    -0.04   0.968    -.2602583    .2498641
       _cons |   1.522375   .7183465     2.12   0.034     .1144421    2.930309
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.431489    .071868    19.92   0.000      1.29063    1.572347
------------------------------------------------------------------------------

initial:       log pseudolikelihood = -1165.9114
rescale:       log pseudolikelihood = -1165.9114
rescale eq:    log pseudolikelihood = -1165.9114
Iteration 0:   log pseudolikelihood = -1165.9114  
Iteration 1:   log pseudolikelihood = -1164.7858  
Iteration 2:   log pseudolikelihood = -1164.6364  
Iteration 3:   log pseudolikelihood =  -1164.636  
Iteration 4:   log pseudolikelihood =  -1164.636  

                                                  Number of obs   =       1373
                                                  Wald chi2(6)    =      64.61
Log pseudolikelihood =  -1164.636                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 142 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   .6017814   .3549498     1.70   0.090    -.0939074     1.29747
       lngdp |   .3139527   .0777275     4.04   0.000     .1616096    .4662957
       lnpop |  -.2003009   .0652517    -3.07   0.002    -.3281919   -.0724099
   allterror |  -.0030659   .0025875    -1.18   0.236    -.0081373    .0020054
     cat_rat |  -.2163192   .1276851    -1.69   0.090    -.4665773     .033939
     logingo |   -.015999   .1360492    -0.12   0.906    -.2826505    .2506525
       _cons |   1.466412   .8198123     1.79   0.074    -.1403904    3.073215
-------------+----------------------------------------------------------------
gamma        |
      avmdia |  -.2554267   .1281459    -1.99   0.046    -.5065882   -.0042653
      WoverS |    1.03723   .4003958     2.59   0.010     .2524689    1.821992
   allterror |   -.003286   .0024541    -1.34   0.181    -.0080959    .0015239
  aireportsl |  -.0343556   .0105064    -3.27   0.001    -.0549478   -.0137633
     logingo |  -.0060923   .0809924    -0.08   0.940    -.1648345    .1526499
       _cons |   .8440331   .4001512     2.11   0.035     .0597512    1.628315
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.606482    .105062    15.29   0.000     1.400564    1.812399
-------------+----------------------------------------------------------------
rho          |
       _cons |  -.3733282   .1628861    -2.29   0.022    -.6925791   -.0540774
------------------------------------------------------------------------------

initial:       log pseudolikelihood =     -<inf>  (could not be evaluated)
feasible:      log pseudolikelihood = -1082.5095
rescale:       log pseudolikelihood = -1082.5095
rescale eq:    log pseudolikelihood = -892.07918
Iteration 0:   log pseudolikelihood = -892.07918  
Iteration 1:   log pseudolikelihood =  -699.3862  
Iteration 2:   log pseudolikelihood = -697.06264  
Iteration 3:   log pseudolikelihood = -697.05653  
Iteration 4:   log pseudolikelihood = -697.05653  

                                                  Number of obs   =        856
                                                  Wald chi2(6)    =     111.22
Log pseudolikelihood = -697.05653                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 116 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
        tort |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   1.182947   .3285643     3.60   0.000     .5389726    1.826921
       lngdp |   .2452374   .0702973     3.49   0.000     .1074573    .3830175
       lnpop |  -.2836188    .049739    -5.70   0.000    -.3811054   -.1861321
   allterror |  -.0040183   .0017233    -2.33   0.020    -.0073958   -.0006407
     cat_rat |   -.108498   .1333388    -0.81   0.416    -.3698373    .1528412
HROsecreta~n |   .0175409   .0083463     2.10   0.036     .0011824    .0338993
       _cons |   2.273323    .930048     2.44   0.015     .4504628    4.096184
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.436851   .0956304    15.03   0.000     1.249419    1.624283
------------------------------------------------------------------------------

initial:       log pseudolikelihood =  -678.3028
rescale:       log pseudolikelihood =  -678.3028
rescale eq:    log pseudolikelihood =  -678.3028
Iteration 0:   log pseudolikelihood =  -678.3028  
Iteration 1:   log pseudolikelihood = -677.69373  
Iteration 2:   log pseudolikelihood = -677.40081  
Iteration 3:   log pseudolikelihood = -677.39498  
Iteration 4:   log pseudolikelihood = -677.39497  

                                                  Number of obs   =        856
                                                  Wald chi2(6)    =      54.01
Log pseudolikelihood = -677.39497                 Prob > chi2     =     0.0000

                             (Std. Err. adjusted for 116 clusters in COWccode)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
beta         |
      WoverS |   .7197708   .4362902     1.65   0.099    -.1353423    1.574884
       lngdp |   .3430206   .0936115     3.66   0.000     .1595455    .5264957
       lnpop |  -.2707418   .0621702    -4.35   0.000    -.3925931   -.1488905
   allterror |  -.0007645   .0027128    -0.28   0.778    -.0060814    .0045525
     cat_rat |  -.2398184   .1643767    -1.46   0.145    -.5619909    .0823541
HROsecreta~n |   .0068131    .008521     0.80   0.424    -.0098878     .023514
       _cons |   2.239363   1.062966     2.11   0.035     .1559874    4.322739
-------------+----------------------------------------------------------------
gamma        |
      avmdia |  -.3524528   .1587276    -2.22   0.026     -.663553   -.0413525
      WoverS |   .8912917   .3259224     2.73   0.006     .2524955    1.530088
   allterror |  -.0031363   .0020539    -1.53   0.127    -.0071618    .0008892
  aireportsl |  -.0450584   .0182293    -2.47   0.013    -.0807871   -.0093297
HROsecreta~n |     .07573   .0404312     1.87   0.061    -.0035137    .1549738
       _cons |   .5292203   .3265921     1.62   0.105    -.1108884    1.169329
-------------+----------------------------------------------------------------
cut2         |
       _cons |   1.756465   .1578114    11.13   0.000      1.44716     2.06577
-------------+----------------------------------------------------------------
rho          |
       _cons |  -.2932074   .1368866    -2.14   0.032    -.5615002   -.0249145
------------------------------------------------------------------------------

. log close
       log:  C:\Users\Danny\Documents\ZIOP\substantive\HilMooMuk_isq\results.log
  log type:  text
 closed on:   7 Oct 2011, 10:47:14
--------------------------------------------------------------------------------------------------------------------------
